Kathrin Kramer

Kathrin Kramer

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Kathrin Kramer

    Research areas

  • Engineering - Circular Economy, Supply Chain Management, Wind Energy, Artificial Intelligence, Production Management
  1. Published

    Circular supply chain management for the wind energy industry: Conceptional ideas towards more circularity

    Kramer, K. & Schmidt, M., 14.09.2022, Digitization of the work environment for sustainable production. Plapper, P. (ed.). Berlin: GITO mbH Verlag, p. 61-80 20 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e. V.).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  2. Published

    Application of Machine Learning on Transport Spot Rate Prediction In the Recycling Industry

    Green, T., Rokoss, A., Kramer, K. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 554-563 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. Published

    Anwendungen des maschinellen Lernens in der Produktion aus Auftrags- und Produktsicht: Ein Überblick

    Denkena, B., Dittrich, M.-A., Noske, H., Kramer, K. & Schmidt, M., 19.05.2021, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 116, 5, p. 358-362 5 p.

    Research output: Journal contributionsJournal articlesResearch

  4. Published

    A learning factory approach on machine learning in production companies: How a learning factory approach can help to increase the understanding of the application of machine learning on production planning and control tasks

    Rokoss, A., Kramer, K. & Schmidt, M., 2021, Competence development and learning assistance systems for the data-driven future. Sihn, W. & Schlund, S. (eds.). Berlin: GITO mbH Verlag, p. 125-142 18 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.).

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

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